| CPC G06V 20/40 (2022.01) [G06T 3/40 (2013.01); G06V 10/25 (2022.01); G06V 10/74 (2022.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06V 10/80 (2022.01)] | 20 Claims |

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1. A computer-implemented method for classifying image content in a sequence of image frames, the method comprising:
converting frame image data, representing an appearance of image content of the image frames, into frame event data defining a set of events, wherein the converting comprises determining, for each event of the set of events, a set of event parameters including positional coordinates corresponding to a location of a respective pixel in the image frames used to derive the event, and further including a respective value indicating at least one of an amount of change of the respective pixel or a polarity of the change based on comparison of values of the respective pixel between different image frames in the sequence of image frames;
processing the set of event parameters of the frame event data to determine an event-based region of interest in the sequence of image frames; and
calculating at least one classification based on an intersection of the event-based region of interest with the frame image data of an image frame in the sequence.
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